For different scenarios, it is crucial to choose the appropriate PHP array sorting algorithm. Bubble sort is suitable for small-scale arrays without stability requirements; quick sort has the lowest time complexity in most cases; merge sort has high stability and is suitable for scenarios that require stable results; selection sort is suitable for situations without stability requirements. Situation; Heap sort efficiently finds the maximum or minimum value. Through comparison of actual cases, quick sort is superior to other algorithms in terms of time efficiency, but merge sort should be chosen when stability needs to be considered.
In daily PHP development, we often need to sort arrays. The sorting requirements in different situations are different, which determines the choice of the optimal algorithm. This article will explore common PHP array sorting algorithms, analyze their application scenarios, and compare them through a practical case.
Comparison of sorting algorithms
Algorithm | Time complexity | Space complexity | Stability |
---|---|---|---|
Bubble sort | O(n²) | O(1) | Stable |
Quick sort | O(n log n) | O(log n) | Unstable |
Merge sort | O(n log n) | O(n) | Stable |
Selection sort | O(n²) | O(1) | Unstable |
Heap sort | O(n log n) | O(1) | Unstable |
Application scenario
Practical case
Consider the following array containing 10,000 random numbers:
$arr = array_fill(0, 10000, rand(1, 100));
Compare the main sorting algorithms
$start = microtime(true); sort($arr); // 内置 PHP 排序算法 $sort_taken = microtime(true) - $start; $start = microtime(true); usort($arr, function($a, $b) { return $a - $b; }); // 快速排序 $quick_taken = microtime(true) - $start; $start = microtime(true); uasort($arr, function($a, $b) { return $a - $b; }); // 稳定排序(归并排序) $merge_taken = microtime(true) - $start;
Result:
内建排序所用时间: 0.12103092699051 秒 快速排序所用时间: 0.02021897315979 秒 稳定排序所用时间: 0.024975891113281 秒
It can be seen from the results that quick sort is significantly better than other sorting algorithms in terms of time efficiency. However, when stability is important, you need to consider using merge sort.
It is specifically applied to different scenarios. Developers can choose the most appropriate sorting algorithm according to specific needs.
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